| gdaigon vs Bryan | 181–132 | 57.83% |
| gdaigon vs Hwoarang | 147–155 | 48.68% |
| gdaigon vs Dragunov | 165–125 | 56.90% |
| gdaigon vs King | 154–133 | 53.66% |
| gdaigon vs Jin | 170–116 | 59.44% |
| gdaigon vs Kazuya | 143–121 | 54.17% |
| gdaigon vs Law | 137–116 | 54.15% |
| gdaigon vs Steve | 129–107 | 54.66% |
| gdaigon vs Yoshimitsu | 117–98 | 54.42% |
| gdaigon vs Paul | 102–104 | 49.51% |
| gdaigon vs Lars | 112–87 | 56.28% |
| gdaigon vs Devil Jin | 83–110 | 43.01% |
| gdaigon vs Reina | 102–89 | 53.40% |
| gdaigon vs Feng | 98–91 | 51.85% |
| gdaigon vs Asuka | 97–91 | 51.60% |
| gdaigon vs Lee | 100–84 | 54.35% |
| gdaigon vs Jun | 69–99 | 41.07% |
| gdaigon vs Xiaoyu | 80–87 | 47.90% |
| gdaigon vs Leo | 71–82 | 46.41% |
| gdaigon vs Claudio | 80–73 | 52.29% |
| gdaigon vs Clive | 73–80 | 47.71% |
| gdaigon vs Lili | 60–86 | 41.10% |
| gdaigon vs Raven | 69–76 | 47.59% |
| gdaigon vs Victor | 70–69 | 50.36% |
| gdaigon vs Shaheen | 67–70 | 48.91% |
| gdaigon vs Eddy | 62–74 | 45.59% |
| gdaigon vs Lidia | 51–72 | 41.46% |
| gdaigon vs Jack-8 | 62–60 | 50.82% |
| gdaigon vs Anna | 56–64 | 46.67% |
| gdaigon vs Heihachi | 60–56 | 51.72% |
| gdaigon vs Leroy | 52–62 | 45.61% |
| gdaigon vs Alisa | 33–71 | 31.73% |
| gdaigon vs Azucena | 47–53 | 47.00% |
| gdaigon vs Zafina | 45–53 | 45.92% |
| gdaigon vs Nina | 46–51 | 47.42% |
| gdaigon vs Fahkumram | 45–46 | 49.45% |
| gdaigon vs Kuma | 28–55 | 33.73% |
| gdaigon vs Armor King | 30–30 | 50.00% |
| gdaigon vs Panda | 10–18 | 35.71% |
| gdaigon vs Miary Zo | 2–5 | 28.57% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.